Hierarchical Linear Modeling (HLM): Unlock the Power of Nested Data

Tired of ignoring the structure in your data?

Whether you're dealing with students nested in classrooms, patients clustered within clinics, or repeated measures over time, traditional regression methods just don't cut it. Standard approaches risk ignoring group-level dynamics, misestimating standard errors, and missing the full story hidden within your research.

Transform How You Analyze Complex Data

This practical, hands-on workshop demystifies Hierarchical Linear Modeling (HLM) and gives you the exact tools you need to analyze multilevel structures with confidence. Designed to bridge the gap between heavy statistical theory and real-world application, this course takes you step-by-step from foundational concepts to model building and interpretation.

Learn from an Expert Methodologist

Led by Dr. Bob Henson, Professor of Educational Research Methodology and Associate Dean of Research. Holding a Ph.D. in Quantitative Psychology from the University of Illinois, Dr. Henson brings over two decades of expertise in advanced psychometrics and statistical modeling. This workshop distills years of graduate-level instruction and applied research experience into clear, actionable, and accessible lessons designed for working researchers.

What You’ll Gain:

• A Solid Conceptual Foundation: Understand why and when to use multilevel models without getting lost in mathematical overload.
• Practical Skills: Learn how to specify, run, and evaluate random intercept and random slope models step by step.
• Actionable Interpretation: Master the art of interpreting variance components, variable effects and cross-level interactions to tell a clear, compelling data story.
• Know how to use HLM software: Walk away with an understanding of how to use the HLM software and how to interpret the results to answer your research questions

Who Is This For?

Researchers, data analysts, graduate students, and applied methodologists across the social, behavioral, and health sciences who want to upgrade their statistical toolkit and tackle complex, nested data head-on.

Elevate your research and master HLM today!

Cost

Registration Cost: $250

Refund Policy

Participants who have registered for the HLM course can receive a partial refund if the participant has not viewed any of the program material on the MOODLE site. No refund is available for participants who have accessed or viewed the program material on the MOODLE site.

You have 180 days from your registration date to finish this course. Once you have been enrolled for 180 days you will be removed from the training and no longer have access to the materials.

Please note: Once you begin the modules you cannot get a refund. If applicable, participants can be granted a partial refund of $200 which constitutes the registration fee minus a $50 service charge. No other refunds are offered.

Technical Assistance

For questions or concerns regarding registration, please contact Nichole McGill, nmcgill@spartanstrategiesinc.org.

For questions regarding the MOODLE Learning Management System, please contact Nichole McGill, nmcgill@spartanstrategiesinc.org.

Program Assistance

For questions related to the HLM course, please contact Dr. Bob Henson at rahenson@uncg.edu.